Supplementary Materials

Supplementary Material for:

Detecting human coronary inflammation by imaging perivascular fat

Alexios S. Antonopoulos, Fabio Sanna, Nikant Sabharwal, Sheena Thomas, Evangelos K. Oikonomou, Laura Herdman, Marios Margaritis, Cheerag Shirodaria, Anna-Maria Kampoli, Ioannis Akoumianakis, Mario Petrou, Rana Sayeed, George Krasopoulos, Constantinos Psarros, Patricia Ciccone, Carl M. Brophy, Janet Digby, Andrew Kelion, Raman Uberoi, Suzan Anthony, Nikolaos Alexopoulos, Dimitris Tousoulis, Stephan Achenbach, Stefan Neubauer, Keith M. Channon, Charalambos Antoniades*

*Corresponding author. Email: antoniad{at}well.ox.ac.uk

Published 12 July 2017, Sci. Transl. Med. 9, eaal2658 (2017)
DOI: 10.1126/scitranslmed.aal2658

This PDF file includes:

  • Materials and Methods
  • Fig. S1. Study flow chart.
  • Fig. S2. Adipocyte differentiation in vitro and lipid accumulation.
  • Fig. S3. Effects of proinflammatory cytokines on preadipocyte differentiation.
  • Fig. S4. FAI and macrophage infiltration and polarization status in adipose tissue explants.
  • Fig. S5. Gene expression of inflammatory cytokines and markers of macrophage infiltration/polarization in coronary PVAT versus non-PVAT.
  • Fig. S6. Variation in FAI mapping of pericoronary adipose tissue in the absence of vascular disease.
  • Fig. S7. FAIPVAT and CAD.
  • Fig. S8. Associations between EpAT and PVAT volumes and coronary atherosclerosis/calcification.
  • Fig. S9. Associations between coronary PVAT imaging phenotyping and coronary calcium score.
  • Fig. S10. Correlations between FAIPVAT and coronary plaque burden in major epicardial arteries.
  • Fig. S11. Detection of noncalcified plaques in human coronaries by CT imaging mapping of pericoronary adipose tissue.
  • Fig. S12. Technical considerations related to calculation of FAI.
  • Table S1. Demographic characteristics of study participants.
  • Table S2. Range of FAI values in adipose tissue explants and in vivo.
  • Table S3. Demographic characteristics of study participants in study arms 3 and 4.
  • Table S4. Predictive value of FAIPVAT to describe CAD and atherosclerotic plaque burden independently of coronary calcium score.
  • Table S5. Individual subject-level data.

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